Predictors of pulmonary embolism in chronic obstructive pulmonary diseases patients admitted for worsening respiratory symptoms: An individual participant data meta-analyses.

Acute exacerbation Chronic obstructive pulmonary disease Diagnosis Pulmonary embolism

Journal

European journal of internal medicine
ISSN: 1879-0828
Titre abrégé: Eur J Intern Med
Pays: Netherlands
ID NLM: 9003220

Informations de publication

Date de publication:
09 Sep 2024
Historique:
received: 07 04 2024
revised: 18 08 2024
accepted: 21 08 2024
medline: 11 9 2024
pubmed: 11 9 2024
entrez: 10 9 2024
Statut: aheadofprint

Résumé

Pulmonary embolism (PE) and acute exacerbation of chronic obstructive pulmonary disease (COPD) have similar clinical symptoms, making PE diagnosis challenging. Previous studies have shown that the prevalence of PE among COPD patients admitted with worsening respiratory symptoms was not negligible, but that systematic search for PE did not provide a clinical benefit. Predictive factors for PE remain unknown. to identify predictive factors for PE among COPD patients with worsening respiratory symptoms. We conducted an individual participant data meta-analysis which included the patients from the prospective PEP cohort and those randomized to the intervention arm in the SLICE trial which included a systematic search for PE in COPD patients admitted for worsening respiratory symptoms. Univariable and multivariable analysis were used to assess factors associated with the diagnosis of PE during the initial management. Among 1110 COPD patients, PE was diagnosed in 61 (5.49 %; 95 %CI 4.15 %-6.84 %). In univariable analysis, BNP (Brain natriuretic peptide) (odds ratio [OR] 1.02 per 100 ng/L increase, 95 %CI 1.01-1.04), prothrombin time (OR 0.78, 95 %CI 0.65-0.94), fibrinogen (OR 0.80, 95 %CI 0.64-0.98), atrial fibrillation (OR 4.74, 95 %CI 1.84-10.80), respiratory rate ≥30 min (OR 2.34, 95 %CI 1.13-4.6) and recent medical immobilization (OR 1.79, 95 %CI 0.99-3.13]) were associated with the risk of PE diagnosed during the initial management. In multivariable analysis, respiratory rate ≥30 (OR 2.77, 95 %CI 1.08-6.71) was a predictive factor for PE, as well as BNP (OR 1.02, 95 %CI 1.00-1.05) with an area under the curve =0.64, negative predictive value =0.15 (95 %CI 0.09-0.23), sensitivity =0.78 (95 %CI 0.74-0.82) and specificity =0.46 (95 %CI 0.29-0.63). Among patients with COPD admitted for worsening respiratory symptoms, respiratory rate and BNP levels are predictor of PE, but with limited discriminatory power.

Sections du résumé

BACKGROUND BACKGROUND
Pulmonary embolism (PE) and acute exacerbation of chronic obstructive pulmonary disease (COPD) have similar clinical symptoms, making PE diagnosis challenging. Previous studies have shown that the prevalence of PE among COPD patients admitted with worsening respiratory symptoms was not negligible, but that systematic search for PE did not provide a clinical benefit. Predictive factors for PE remain unknown.
OBJECTIVE OBJECTIVE
to identify predictive factors for PE among COPD patients with worsening respiratory symptoms.
METHODS METHODS
We conducted an individual participant data meta-analysis which included the patients from the prospective PEP cohort and those randomized to the intervention arm in the SLICE trial which included a systematic search for PE in COPD patients admitted for worsening respiratory symptoms. Univariable and multivariable analysis were used to assess factors associated with the diagnosis of PE during the initial management.
RESULTS RESULTS
Among 1110 COPD patients, PE was diagnosed in 61 (5.49 %; 95 %CI 4.15 %-6.84 %). In univariable analysis, BNP (Brain natriuretic peptide) (odds ratio [OR] 1.02 per 100 ng/L increase, 95 %CI 1.01-1.04), prothrombin time (OR 0.78, 95 %CI 0.65-0.94), fibrinogen (OR 0.80, 95 %CI 0.64-0.98), atrial fibrillation (OR 4.74, 95 %CI 1.84-10.80), respiratory rate ≥30 min (OR 2.34, 95 %CI 1.13-4.6) and recent medical immobilization (OR 1.79, 95 %CI 0.99-3.13]) were associated with the risk of PE diagnosed during the initial management. In multivariable analysis, respiratory rate ≥30 (OR 2.77, 95 %CI 1.08-6.71) was a predictive factor for PE, as well as BNP (OR 1.02, 95 %CI 1.00-1.05) with an area under the curve =0.64, negative predictive value =0.15 (95 %CI 0.09-0.23), sensitivity =0.78 (95 %CI 0.74-0.82) and specificity =0.46 (95 %CI 0.29-0.63).
CONCLUSION CONCLUSIONS
Among patients with COPD admitted for worsening respiratory symptoms, respiratory rate and BNP levels are predictor of PE, but with limited discriminatory power.

Identifiants

pubmed: 39256101
pii: S0953-6205(24)00370-4
doi: 10.1016/j.ejim.2024.08.020
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.

Auteurs

Valentine Mismetti (V)

Mines Saint-Etienne, INSERM, Université Jean Monnet Saint-Étienne, SAINBIOSE U1059, Saint-Etienne F-42023, France; Département de Pneumologie et Oncologie thoracique, CHU Saint-Etienne, France.

Francis Couturaud (F)

INSERM U1304-GETBO, Université Brest, CIC1412, Brest, France; Département de Médecine Interne et Pneumologie, CHU Brest, Brest, France; FCRIN INNOVTE, France.

Olivier Sanchez (O)

FCRIN INNOVTE, France; Service de Pneumologie et de Soins Intensifs, Hôpital Européen Georges Pompidou, Université Paris Cité, AP-HP, Paris, France; INSERM UMR S 1140, Université de Paris, Paris, France.

Raquel Morillo (R)

Respiratory Department, Ramón y Cajal Hospital and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.

Edouard Ollier (E)

Mines Saint-Etienne, INSERM, Université Jean Monnet Saint-Étienne, SAINBIOSE U1059, Saint-Etienne F-42023, France.

Carmen Rodriguez (C)

Respiratory Department, Ramón y Cajal Hospital and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.

Pierre-Marie Roy (PM)

FCRIN INNOVTE, France; Service des urgences, Centre Hospitalo-Universitaire d'Angers, France; Institut MITOVASC, Université d'Angers, EA 3860, Angers, France.

Pedro Ruiz-Artacho (P)

CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain; Department of Internal Medicine, Clínica Universidad de Navarra, Madrid; Interdisciplinar Teragnosis and Radiosomics Research Group (INTRA-Madrid), Universidad de Navarra, Madrid, Spain.

Frédéric Gagnadoux (F)

Département de Pneumologie, Centre Hospitalo-Universitaire d'Angers, France; INSERM UMR1063, Université d'Angers, Angers, France.

Raphael Le-Mao (R)

INSERM U1304-GETBO, Université Brest, CIC1412, Brest, France; Département de Médecine Interne et Pneumologie, CHU Brest, Brest, France; FCRIN INNOVTE, France.

Eva Tabernero (E)

Respiratory Department, Hospital Universitario Cruces, Barakaldo, Biocruces-Bizkaia, Spain.

Michel Nonent (M)

INSERM U1304-GETBO, Université Brest, CIC1412, Brest, France; Service de radiologie, Centre Hospitalo-Universitaire de Brest, Brest, France.

Jeannot Schmidt (J)

FCRIN INNOVTE, France; Service des urgences, Centre Hospitalo-Universitaire de Clermont-Ferrand, France; UMR 6024 UCA-CNRS, Université de Clermont-Ferrand, Clermont-Ferrand, France.

Laurent Bertoletti (L)

Mines Saint-Etienne, INSERM, Université Jean Monnet Saint-Étienne, SAINBIOSE U1059, Saint-Etienne F-42023, France; FCRIN INNOVTE, France; Service de Médecine Vasculaire et Thérapeutique, CHU de Saint-Etienne, France. Electronic address: laurent.bertoletti@chu-st-etienne.fr.

David Jimenez (D)

Respiratory Department, Ramón y Cajal Hospital and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain; CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain; Medicine Department, Universidad de Alcalá, Madrid, Spain.

Classifications MeSH